From the 1 of 24 linked papers with an AI index.
24 papers
SpaceVLA: Spatially Grounded VLA for Robotic Manipulation with User-Authored Grasp and Place Anchors
Daniia Zinniatullina, Iaroslav Kolomiets, Mikhail Konenkov +2
Vision-language-action (VLA) models follow language commands but often lack explicit spatial intent for manipulation. We present Visual Intent Anchors, an XR pipeline that lets use…
GeminiPainter's sequence-formed pipeline comprised of perception, cognition, planning, and action stages
Miguel Altamirano Cabrera, Aleksey Fedoseev, Iana Zhura +1
We present an autonomous robotic portrait-generation system combining real-time face detection, AI-based sketch generation, and robotic drawing. The system captures video frames, e…
ORCESTRA: VLM-driven Visual Robot programming in Mixed Reality
Ivan Snegirev, Elizaveta Semenyakina, Mikhail Konenkov +3
ORCESTRA is a mixed-reality system for programming robot digital twins through no-code waypoint teaching and language-guided control. In a passthrough mixed-reality workspace, user…
OmniAI: A Surface-Adaptive Aerial Projection Interface for Human--Drone Interaction
Nikita Kuzmin, Yuhua Jin, Georgii Demianchuk +6
Drones in human environments often lack spatially grounded in- terfaces for situated communication. We present OmniAI, an em- bodied aerial agent that supports surface-adaptive int…
AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning
Iaroslav Kolomiets, Miguel Altamirano Cabrera, Artem Lykov +6
The paper presents AgenticFocus, a mixed-reality pipeline that turns ordinary first-person human videos into robot-ready demonstrations by reconstructing hidden object geometry, co…
AnythingReality: Robust Online Gaussian Splatting SLAM for Open-Vocabulary VR Scene Exploration
Timofei Kozlov, Dmitrii Maliukov, Andrey Marchenko +2
We present a novel integrated architecture for robust online 3D Gaussian splatting, real-time VR exploration, and speech-driven Vision-Language-Model interaction. Unlike methods as…